XCAILE.Human-Led · AI-Amplified
For Mid-Market Operators · 25 to 500 employees

Scale functions, not payroll. One pod. One SLA. Live in about 30 days.

Stand up a nearshore, time-zone-aligned AI pod that owns one operational function end-to-end: Sales Development, Customer Success, Support, RevOps, Recruiting, or Finance Ops. Human plus AI capacity under one SLA. Typically 40 to 60 percent below the fully-loaded cost of building the same team in-house.

★ Time-zone aligned (LATAM)★ Human + AI under one SLA★ Function-level KPIs
About 30-day deploy·3 to 8 operators per pod·Weekly QBR + live dashboard·SOC 2-aligned operations
The reality

Where the value is leaking today.

Headcount is the wrong lever

You can't hire your way to a 24/7 SDR motion or same-hour support SLA. Linear cost, linear output, linear ceiling.

AI pilots aren't shipping

Most internal AI projects die because no one owns the workflow change. A model is not a function. A demo is not delivery.

Vendors stack, no one owns

BPO for labor, SaaS for tooling, consultants for design, internal lead for integration. The KPI moves nowhere.

What changes

Concrete outcomes, not slide-ware.

A function that moves a KPI, on a predictable line

Pipeline created, tickets closed, time-to-fill, days-to-close. You buy the function running, not labor hours.

Deploy in about 30 days

Week 1 map and instrument. Week 2 assemble and train. Week 3 supervised dry-run. Week 4 go live under SLA.

40 to 60 percent below in-house all-in

Fully-loaded cost versus building the same capacity with recruiting, benefits, management overhead, tooling, and ramp.

One accountable operator

Named XCAILE account lead. Weekly QBR. Monthly scorecard. Live KPI dashboard. No vendor stacking.

The offer

Nearshore AI Pod, function-as-a-service

Flat monthly per pod, sized by function and volume

Live under SLA in about 30 days

  • 3 to 8 nearshore operators, English-fluent, time-zone aligned with US business hours
  • AI agent stack tuned to your tools, data, and playbooks
  • One SLA, one bill, one named XCAILE account lead
  • Weekly QBR, monthly scorecard, live KPI dashboard
  • Function-level KPIs written into scope (pipeline, tickets, time-to-fill, days-to-close)
  • Available for Sales Development, Customer Success, Support, RevOps, Recruiting, Finance Ops

Pricing built after a 60-minute scoping session. Deployment timing confirmed once function and workflow are mapped. Typical range 40 to 60 percent below in-house all-in for equivalent capacity.

Why XCAILE

One orchestrator. Human plus AI. Written accountability.

We sell the function, not the seats

BPOs bill you per FTE and leave the AI question to you. We ship function-level KPIs with human + AI under one SLA.

Nearshore, not offshore

Time-zone alignment and cultural fluency materially change response times, CSAT, and conversion for revenue and customer-facing work.

AI + human, integrated

AI agents handle volume; humans handle judgment, escalation, and exceptions. Weekly enablement, not quarterly retraining.

One owner, weekly cadence

Named account lead, weekly QBR, live dashboard. Vendor consolidation instead of vendor stacking.

How it works

A short, documented path from first call to deployment.

  1. Step 1
    Scope

    60-minute working session: function definition, KPIs, tools, access, escalation rules. You sign off on the operating spec.

  2. Step 2
    Assemble & train

    Pod staffed from our nearshore bench. AI agents trained on your tools, data, and playbooks. Supervisor named.

  3. Step 3
    Supervised dry-run

    Pod runs in shadow against real volume. We tune, you approve, we lock workflows and escalation rules.

  4. Step 4
    Go live under SLA

    Function transitions to the pod. Weekly QBR begins. Live dashboard goes on for you and your team.

The commitment

90-day KPI commitment, written into the scope.

Every pod ships with a written KPI commitment for day 90. Miss it and we work for free until we hit it, or you exit with no penalty. We are operators, not seat-vendors. The math has to work or the deal doesn't.

Delivery evidence

The facts your team will ask for.

Verified process facts

Deployment
About 30 days from signed scope to function running under SLA
Pricing
Flat monthly per pod, typically 40 to 60 percent below in-house all-in
Functions
Sales Development, Customer Success, Support, RevOps, Recruiting, Finance Ops
Geography
Nearshore Latin America, time-zone aligned with North American business hours
Governance
Named account lead, weekly QBR, monthly scorecard, live KPI dashboard
Security
SOC 2-aligned operations, DPAs, IdP-based access

XCAILE is delivered on Gracemark Solutions' global workforce infrastructure across 100+ countries with EOR, AOR, and compliance coverage. Case studies shared during scoping under mutual NDA.

For mid-market operators

Talk to us about a Nearshore AI Pod.

Team leads, function heads, and COOs, we'll design a 30-day pod for one workflow.

Or email sales1@xcaile.comReal person · Same-day reply
Common questions

Answers to what most buyers check first.

What is a Nearshore AI Pod?

A function-as-a-service: 3 to 8 nearshore operators (Latin America, time-zone aligned with US business hours) running alongside a tuned AI agent stack, owning one operational function end-to-end. One SLA, one bill, one weekly QBR.

How is this different from a BPO or staff-augmentation firm?

BPOs sell seats; we sell outcomes. A traditional BPO bills per FTE and leaves the AI question to you. We blend human + AI capacity under one SLA, own the workflow design, and ship measurable function-level KPIs (pipeline created, tickets closed, time-to-fill, days-to-close).

Why nearshore versus offshore?

Time-zone alignment, cultural fluency, and English proficiency materially change response times and customer experience for revenue and customer-facing functions. We use offshore selectively for back-office work where it earns its place.

How fast is deployment?

About 30 days from signed scope to production. Week 1 process mapping and instrumentation. Week 2 pod assembly and AI agent training. Week 3 supervised dry-run. Week 4 go-live under SLA. We do not run quarter-long pilots.

What does this typically cost?

Flat monthly per pod, scoped to function and volume. Typically 40 to 60 percent less than building the same capacity in-house once you factor in recruiting, benefits, management overhead, tooling, and ramp time. Exact pricing is built in the scoping session.

Who manages the pod day-to-day?

We do. Every pod has a named XCAILE account lead plus a delivery lead inside the pod. Single point of accountability, weekly QBR, live KPI dashboard.

Can we start small and expand?

Yes. Standard entry is one function. Once we prove the unit economics, usually inside 60 days, you can add a second pod, expand pod size, or layer in compliance and global employment to take the function international.

What about data security and compliance?

SOC 2-aligned operations, signed DPAs, least-privilege access via your IdP, country-of-origin transparency on every operator. For regulated functions (Finance, Healthcare, Legal), we tailor controls and tooling to your regime.

Nearshore AI Pod, function-as-a-service. Live under SLA in about 30 days.

One working session to confirm fit and scope. No obligation. NDA on request.

Flat monthly per pod, sized by function and volume